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How can we visualize a 3,000,000 x 3,000,000 cell matrix and allow analysts to explore features across a wide range of different scales? We built HiGlass, a web-based visualization tool for analysis of Hi-C and other genome-wide chromosome interaction data that enables comparison of multiple contact matrices and integration of other data types. To complement this functionality, we also created HiPiler, which enables investigators to view and explore thousands of features such as loops or TADs and correlate their appearance with their genomic locations and experimental conditions. In my talk, I will discuss the design of HiGlass and HiPiler and present a range of use cases for these applications.

24.
• How do speciﬁc pattern or
average pattern look?
• How variable and noisy are
detected patterns?
• Are there subgroups among
the pattern?
• How are patterns related to
other data attributes?
• What does the patterns
neighborhood look like?